You will embed within client operations to understand business processes firsthand before designing and building bespoke GenAI systems. You are responsible for shipping production-ready agentic workflows and ensuring they deliver measurable business outcomes.
You will embed with client teams to design and build production-grade AI solutions, acting as the primary technical point of contact. This role involves owning the full architectural lifecycle, from discovery and technical proposals to implementation and mentoring.
Manage and convert partner-sourced leads from Anthropic and AWS while building an independent pipeline of enterprise clients in Financial Services and Life Sciences. Collaborate with delivery teams to scope consulting engagements and represent the company at industry events and executive briefings.
The manager will own the full sales cycle for partner-sourced leads from Anthropic and AWS while independently prospecting for new enterprise business in target verticals. They will also act as the primary point of contact for partner teams, driving co-sell opportunities and maintaining joint pipeline health.
The Product Designer will contribute to the end-to-end design process for complex, regulated product domains while maintaining a scalable design system. They will collaborate with cross-functional teams to create user-friendly interfaces and data visualizations that align with product goals.
You will design user flows, wireframes, and interactive prototypes for AI-driven products such as chat interfaces and dashboards. Additionally, you will contribute to design system components and iterate on your work based on team feedback.
You will embed with client teams to design and build production-grade AI systems, acting as the primary technical point of contact. You will also lead architecture reviews, mentor engineers, and contribute to the company's internal blueprint library.
The Sales Manager will own and grow an existing portfolio of enterprise clients on the East Coast by managing renewals, expansions, and upsell opportunities. They will serve as the primary commercial point of contact, tracking engagement health and aligning with delivery leads to ensure project success.
The role involves embedding within client operations to learn business processes firsthand before rebuilding them using GenAI and agentic systems. You will be responsible for shipping production-ready AI applications and owning the measurable business outcomes for clients.
The role involves embedding within client operations to learn business processes firsthand before rebuilding them using GenAI and agentic systems. You will be responsible for shipping production-ready AI applications and owning the measurable business outcomes for clients.
Embed within client operations to learn business processes firsthand before rebuilding them from first principles using AI. Ship production-ready GenAI systems and own the measurable business outcomes for clients in financial services and healthcare.
Develop and optimize ML models from scratch while collaborating with cross-functional teams to deploy them into production. Establish experimentation roadmaps and maintain reproducible pipelines to ensure optimal model performance.
Lead the delivery and product definition of AI-driven transformations for clients in the financial services and healthcare sectors. You will bridge the gap between technical engineering and executive business value, owning the roadmap for agentic systems and bespoke AI applications.
Lead the delivery and strategy of frontier AI engagements, focusing on agentic systems and bespoke applications for enterprise clients. Define value propositions, build business cases, and manage the Agile execution of GenAI roadmaps from prototyping to deployment.
Own the product vision and delivery of AI-native solutions for clients in the financial services and healthcare sectors. Act as a forward-deployed expert to bridge the gap between business ROI and technical implementation using Anthropic's toolset.
Manage full-cycle recruitment processes across Latam and North America to grow the talent pool. Partner with hiring managers to define recruitment needs and implement data-driven talent strategies.
Design and implement cloud-native AI solutions, focusing on RAG systems and agentic workflows to solve client business challenges. Act as a technical advisor throughout the project lifecycle, from presales discovery and scoping to production delivery and mentoring.
Design and build production-grade AI systems, including RAG pipelines and agentic workflows, using Python and AWS. Own backend services and data pipelines end-to-end while translating client requirements into technical delivery plans.
Lead the technical direction of client engagements by designing and implementing production-grade Python and GenAI solutions. Responsibilities include supporting presales, mentoring engineers, and managing the end-to-end delivery of LLM-based applications.
Develop and maintain scalable Python applications and RESTful APIs using frameworks like FastAPI or Django. Design and implement generative AI chatbot applications and optimize Retrieval Augmented Generation (RAG) systems.
Lead the delivery of AI enablement curricula, including live sessions, executive coaching, and skill-authoring labs for enterprise customers. Facilitate the creation of lighthouse use cases and contribute to the evolution of the company's enablement playbook.
Lead the product strategy and execution for AI and data solutions, focusing on GenAI, Agentic AI systems, and complex data migrations. Translate ambiguous business challenges into actionable roadmaps while collaborating with cross-functional technical teams and C-suite executives.
You will own the technical vision and architecture for client AI engagements, leading discovery through delivery. Additionally, you will support presales activities and mentor engineering teams while maintaining high-quality production standards.
Lead product strategy and execution for client engagements involving GenAI, Agentic AI systems, and complex data migration initiatives. Drive AI-powered product innovation while collaborating with cross-functional teams to deliver integrated, high-impact solutions.
The role involves writing production-grade Python code for AI integrations, backend services, and RESTful APIs, while also implementing and optimizing RAG systems for real client business challenges. Responsibilities include owning the technical direction of client engagements, leading discovery, driving architecture decisions, and supporting presales activities.
